AI for good & bringing people into the AI conversation w/ Henna Hundal & David Yakobovitch

How do we ensure a collaborative space between humans and AI? Are we highlighting the ways that AI can benefit society? How can we improve the education system to better align with where we’re headed with tech?

In this episode of IBM thinkLeaders podcast, we are joined by Henna Hundal (co-founder of Azal Trust & radio host) & David Yakobovitch (Principal Data Scientist at Galvanize, host of HumAIn). We talk to Henna and David about why people may be intimidated by AI, how we can ensure the AI conversation is not too coastal, and the fear that people have about AI disruption. We also get into AI for good, the need for transparency, climate change, and the public discourse around how data is used.

Connect with us @IBMthinkLeaders
@hennahundal
@davidyako

“When we think about the ways that humans are needed to add value, we can think about ethically sourcing data...Making sure that AI-driven tools, the users who are interacting with them at every point in the process can know when their personal data is being harvested and can choose to accept or reject that premise whether they want it to be harvested or to what extent they want it to be harvested.” -Henna Hundal, co-founder of Azal Trust & radio host

“When we look at the AI ethics space, [it] is about inclusion and bias and what are the rights and liberties for each and every person. And I think that's where it comes down to is, whether you're doing a consumer or enterprise application, are you informing your audience about what's possible?” - David Yakobovitch, Principal Data Scientist at Galvanize, host of HumAIn